def testComputeActivity(self):
"""
Test that connections are generated on predefined segments.
"""
random = Random(1981)
active_cells = np.array(random.sample(
np.arange(0, NUM_CELLS, 1, dtype="uint32"), 40),
dtype="uint32")
active_cells.sort()
presynaptic_input = list(range(0, 10))
presynaptic_input_set = set(presynaptic_input)
inputSDR = SDR(1024)
inputSDR.sparse = presynaptic_input
l = len(presynaptic_input)
connections = Connections(NUM_CELLS, 0.51, False)
for i in range(NUM_CELLS):
seg = connections.createSegment(i, 1)
numActiveConnectedSynapsesForSegment = connections.computeActivity(
inputSDR, False)
for count in numActiveConnectedSynapsesForSegment:
self.assertEqual(count, 0, "Segment should not be active")
for cell in active_cells:
segments = connections.segmentsForCell(cell)
segment = segments[0]
for c in presynaptic_input:
connections.createSynapse(segment, c, 0.1)
numActiveConnectedSynapsesForSegment = connections.computeActivity(
inputSDR, False)
for count in numActiveConnectedSynapsesForSegment:
self.assertEqual(count, 0, "Segment should not be active")
for cell in active_cells:
segments = connections.segmentsForCell(cell)
segment = segments[0]
connections.adaptSegment(segment, inputSDR, 0.5, 0.0, False)
active_cells_set = set(active_cells)
numActiveConnectedSynapsesForSegment = connections.computeActivity(
inputSDR, False)
for cell, count in enumerate(numActiveConnectedSynapsesForSegment):
if cell in active_cells_set:
self.assertEqual(count, l, "Segment should be active")
else:
self.assertEqual(count, 0, "Segment should not be active")
def testComputeActivityUnion(self):
"""
Test that connections are generated on predefined segments.
"""
random = Random(1981)
active_cells = np.array(random.sample(
np.arange(0, NUM_CELLS, 1, dtype="uint32"), 40),
dtype="uint32")
active_cells.sort()
presynaptic_input1 = list(range(0, 10))
presynaptic_input1_set = set(presynaptic_input1)
presynaptic_input2 = list(range(10, 20))
presynaptic_input2_set = set(presynaptic_input1)
connections = Connections(NUM_CELLS, 0.51, False)
for i in range(NUM_CELLS):
seg = connections.createSegment(i, 1)
self._learn(connections, active_cells, presynaptic_input1)
self._learn(connections, active_cells, presynaptic_input2)
numSynapses = connections.numSynapses()
self.assertNotEqual(
numSynapses, 40,
"There should be a synapse for each presynaptic cell")
active_cells_set = set(active_cells)
inputSDR = SDR(1024)
inputSDR.sparse = presynaptic_input1
numActiveConnectedSynapsesForSegment = connections.computeActivity(
inputSDR, False)
for cell, count in enumerate(numActiveConnectedSynapsesForSegment):
if cell in active_cells_set:
self.assertNotEqual(count, 0, "Segment should be active")
inputSDR.sparse = presynaptic_input2
numActiveConnectedSynapsesForSegment = connections.computeActivity(
inputSDR, False)
for cell, count in enumerate(numActiveConnectedSynapsesForSegment):
if cell in active_cells_set:
self.assertNotEqual(count, 0, "Segment should be active")